{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "680c91b6-4b2a-48bd-8e8a-778178bfe2be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa7fabd1-8479-4e1f-b25b-13bea976bc44",
   "metadata": {},
   "source": [
    "## FacetGrid绘图与Axes绘图\n",
    "\n",
    "FacetGrid提供了Figure级的接口，方便用户更为简单地调用各种Axes级别的绘图工具。\n",
    "\n",
    "#### 重点\n",
    "* relplot、catplot、displot、lmplot底层都使用了FacetGrid技术，可以通过参数绘制同种不同类型的图，或者多个子图。\n",
    "* FacetGrid绘图时，必须指定data为dataframe对象，x和y为数据对象中的列名。\n",
    "* Axes绘图时，参数更加灵活，\n",
    "    * 即可指定data为dataframe对象，x和y为数据对象中的列名。\n",
    "    * 亦可指定x和y为具体的numpy数组或者Series对象。\n",
    "* 使用Axes绘图时，可以直接结合matplotlib使用。\n",
    "\n",
    "### 关系图\n",
    "1. FaceGrid级关系图：relplot\n",
    "2. Axes级的关系图\n",
    "    1. scatterplot\n",
    "    2. lineplot\n",
    "\n",
    "### 分类图\n",
    "1. FacetGrid级的分类图：catplot\n",
    "2. Axes级的分类图：\n",
    "    1. stripplot（没有重复点的散点图）\n",
    "    2. swarmplot\n",
    "    3. boxplot\n",
    "    4. violinplot\n",
    "    5. boxenplot（针对大数据的箱线图）\n",
    "    6. pointplot\n",
    "    7. barplot\n",
    "    8. countplot\n",
    "\n",
    "### 分布图\n",
    "1. FacetGrid级的分布图：displot\n",
    "2. Axes级的分布图：\n",
    "    1. histplot\n",
    "    2. kdeplot\n",
    "    3. ecdfplot\n",
    "    4. rugplot\n",
    "\n",
    "### 回归图\n",
    "1. FacetGrid级的回归图：lmplot\n",
    "2. Axes级的回归图：\n",
    "    1. regplot\n",
    "    2. residplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fa52b3b4-e5c4-4222-91d2-0a787f213d25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据(seaborn提供测试数据)\n",
    "tips = pd.read_csv(\"dataset/tips.csv\")\n",
    "# 查看数据\n",
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b502d67-0e8f-42ea-8fec-f37b19ad0e35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1825b4690>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用FacetGrid绘图必须指定data参数，并且将x和y的参数指向dataframe的列名\n",
    "sns.relplot(data=tips, x=\"total_bill\", y=\"tip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "24c6919c-ccbe-40c1-8890-60df1b9319e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用Axes绘图既可以指定data参数，并且将x和y的参数指向dataframe的列名\n",
    "sns.scatterplot(data=tips, x=\"total_bill\", y=\"tip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "edce9801-50ab-4ff8-96f2-1cd22b02d260",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用Axes绘图也直接指定x和y的参数为具体的数据对象，比如Series\n",
    "sns.scatterplot(x=tips[\"total_bill\"], y=tips[\"tip\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f1bd2503-1390-4550-b94f-6bf2069e1c45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0x1829e0f90>,\n",
       " <matplotlib.axis.XTick at 0x182a465d0>,\n",
       " <matplotlib.axis.XTick at 0x182a73910>,\n",
       " <matplotlib.axis.XTick at 0x182a7d350>,\n",
       " <matplotlib.axis.XTick at 0x182a7f150>,\n",
       " <matplotlib.axis.XTick at 0x182a85410>,\n",
       " <matplotlib.axis.XTick at 0x182a877d0>,\n",
       " <matplotlib.axis.XTick at 0x182a183d0>,\n",
       " <matplotlib.axis.XTick at 0x182a9e110>,\n",
       " <matplotlib.axis.XTick at 0x182aa4390>,\n",
       " <matplotlib.axis.XTick at 0x182aa65d0>,\n",
       " <matplotlib.axis.XTick at 0x182aa8a50>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用Axes绘图会返回一个Axes对象\n",
    "# 可以通过Axes对象进行类似matplotlib中的细节设置\n",
    "    # 例如，设定坐标轴的ticks\n",
    "axes = sns.scatterplot(data=tips, x=\"total_bill\", y=\"tip\")\n",
    "axes.set_xticks(range(0,60,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "715683b0-5732-41a0-9ea3-d9995459bbbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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6/JiWnFug4rwsdXb3KiUpQYcb2/Xj2Sfql2/sd67n6Nkc7HMYznsxWPtubLOpoa1LrbZutdp6lJWapNEZySE/Dn/XONp+po0gFn63AgAAAABij2GC7Q8++EBPPfWUioqKwl0KQiBUrS8iyXAeo6d9lRRk66qSfC349Z81/YQRXvfrqUey2ZSgtQuKtWlHtR57q8o5beOiM/T4W1XaXhX4MfnqL32grkW7Pj/mti9H/XddNFm/qvi72mw9zunB7tkcznsxWPuubWjX51+1ad1b+7Wj6qhz+qyvw+VQH0c09xA3mlj43QoAAAAAiE2GaEXS0tKiK664Qr/+9a81YsSIcJeDIAtl64tIMZzH6G1fO6qOatOOai2eme9zv556JC+ema9NO6pdQtLFM/O17q39LqG2FNgxWcwmnTQ6XaeNH6GTRqc7A8+mji6P+3LU/7M/fKzFM/NdpgezZ3M478Vg7buxzaatnx1xC7Ulafsw/kx5u8YYPrHwuxUAAAAAELsMEWxff/31uvDCC3Xeeef5Xbazs1NNTU0uL0Q2b60vpH+1mjC64TxGX/vaUXVUxXlZPvfrqUdycV6WW0jqaZrDYI8pMyXJ53a396lfCn7P5nDei8Had32LTaMzkoN+bWA8sfC7FQAAAAAQuyI+2H7++ef14YcfatWqVQEtv2rVKlksFucrLy8vxBViqDy1vugr2K0mwmE4j9Hfvjq7e33u19EjuW+43XcdX9P6GswxBRJSO/bbv2dzY5tNB+paVFlzTAeOtAxqNGo478Vg7bupoysk1wbGEwu/WwEAAAAAsSuie2wfPHhQN954o15//XWlpKQEtM7KlSu1bNky5/umpibC7QjnqfVFX8FsNREuw3mM/vaVnPiv77O87bd/j+SUpASf2/FkMMdkMZs0boTvvr8Tss16c9lsl57NweojHM57MVj7zkxJ0letvkP9aPiZgn+x8LsVAAAAABC7InrE9q5du1RXV6dp06YpMTFRiYmJqqio0Nq1a5WYmKienh63dZKTk5WZmenyQmTz1PrCIditJsJlOI/R175KCrJVebAhoP327ZGcY0lx22blwQaVFGR7XHcoxzQ2031ffbf7jaxUl57NwewjHM57MVj7tqabVNfcGZJrA2OJhd+tAAAAAIDYFdHB9ty5c7V3717t3r3b+Zo+fbquuOIK7d69WwkJ7qNIYTyeWl9I7q0mjGw4j9HbvkoKsnVVSb42vlM94P162ubGd6q19NxCzQryMQ30XAWzj3A478Vg7dtiNmnON0dp6bmFbuH2rCj6mYJ/sfC7FQAAAAAQuyK6FUlGRoamTJniMi0tLU3Z2dlu02Fs/VtfZKQkubSaiAbDeYz995WWnChTQrwa2236/ZKZg9qvt/ofC8ExDeRcBbuPcDjvxWDtOycrVWZTgu6/9FS12rrVZuuRJTVJozOSo+pnCv7Fwu9WAAAAAEBsiuhgG7HFYo7+sGU4j9HzvtJCsE2F5JgCPVeh6CMcznsxWPuOhZ8nBIZ7AQAAAAAQjQwXbG/dujXcJQAxqbHNprrmTjW0dynNlKC05ERlpSaFPTBz9BHe5qEdSST2EW5ss6m+xaamji5lpibJmkboCAAAAAAAMFCGC7YBDL9DDe265f/t0faqf4XHJQXZWnpuoU4YaVZOVmrYanP0EV5Rvscl3I7EPsKHGtrdHnRZWmjV6rIi5YbxHAIAAAAAABgNwTYQJUI1ErixzeYWakvSjqqjkqSLinI1f8rYsAbIRugj3Nhmcwu1peMPuFxRvkfrFhRHVL0AAAAAAACRjGAbiAKhHAlc32JzC7UddlQd1eKSfNW32MIeykZ6H+H6FptbqO2wbX99RJxDDBytZQAAAAAACA+CbcDgQj0SuKmjy+f8zu5eNftZBv7PI+fQeGgtAwAAAABA+MSHuwAAQxPISOChyExJ8jk/OTFeGX6Wgf/zyDk0Fn9fKDW2De3nDgAAAAAA+EawDRhcqEcCW9NNKi20epxXUpCtuuZOWdNjt/VCY5tNB+paVFlzTAeOtLgEmn3nJSbEeT2PpYXWmD6HRhTqL5QAAAAAAIBvtCIBDC7UI4EtZpNWlxW5jU4tKcjW0nMLNWGkOWZ7CvtqRREn6eY+88ymBG1cdIbsktvyD5QVxew5NCpaywAAAAAAEF4E24DBOUZUb/MwejRYI4Fzs1L12IJi1TV3qrG9S2ZTgtJMicoyJ8VsIOuvFcW8U3Nc5rXZerR48we646JJuvOiSWrt7FZGSpKs6Txs0IhoLQMAAAAAQHjRigQwOMeI6v5tLoI9EthiNqlwTIamTxipSbkWnWBNC3jbvtp1GJW/VhSjM5LdprfZerTyhb2Kj4vTaeNH6KTR6YTaBmVNN2mWl9Yys2gtAwAAAABAyDFiG4gCuVmpWregWPUtNjV3dHkdCdzYZlN9i01NHV2ypCYpLTlRrZ3d6u61q9duV1tntyxmk6xpruv2XS8zNcltvi++2nXkZqUGfIyNbTbVNXeqob1LaaYEpSUnKiv1+IjxgdY3lONx8NeKorO71+s82lREh+vPKVCv3a4dVUed00oKsnX9OQVhrArDLRi/TwAAAAAAA0ewDQxRpIQaFrPv/fYNmM2mBK1dUKzn/vy5fnDmCdq0o9olnOsbPA8lmPbXrmPdguKAztWhhnbd8v/2aHuVa4/vG84tVK4lRbe+9FHA9X1xrE2fH21TQ3uXUpIS9OYndfq0tkn3XDJlQEG7r1YUZlOCxo1I1YaF09XZ3auUpAR9WHNMG9+pVputhzYVUaC+xabFmz/Q4pn5WlySr87uXiUnxqvyYIMWb/5Av18yk3AzBgTrizsAAAAAwMARbANDYJRQo3/AvHhmvjbtqFbx+BFuobb0r+D5F5dPHVIw7a9dR32LzW/419hmcwu1JWlH1VHFS269rH3V98+v2nTLC3vcRtheVZKvu17+SA9dPjXgMNJbb3PHQyJ/8don2t5vP2sXFOu3f6mhTUUUaOroUputR4+9VeVxPqPyo1+wvrgDAAAAAAwOPbaBQfIXakRSH+n+AXNxXpZ2VB11/q8n2/bX61ir/2DaF3/tOgIJ/+pbbG6htsP2qqMak5kSUH2NbTat7BdqS8cD8k07qjUxJ9Pv8fTlrbf5HRdN0uNvVbmE2o79bN5Rrbu/MzloYVc09i43Ch4eiUC+uAMAAAAAhA4jthEzgt0yJBijkUPNccxHW23auOgMZzsMR/9nX32gJampo9vnfH/BdDDCv2D1sj4ekHsO8XdUHdXikvwBj7L11Nu8127Xyhf2elz+naqj6ujyfc4DZZS/FohW3kbsS8evA6Pyo18wvrgDAAAAAAwewTZiQihCwEgPNTwds6MdRnxcnCQpOdH3H21kpvj+FeEvmA5G+OcvHPd1DH3rCyQgH8wo2/69zStrjvlcPhj3BS0Qws8xYn9F+R6X+7u00KoHyoo4/zGAUfsAAAAAEF60IkHUC1XLkEgONbwds6Ptht1uV0lBtioPNqikINvjNkoLrRqRZnJrtdF3vr9g2lu7jkDDv8Y2mxLj4zTLSw2zCrJV19QRUH3+rldWalJQRtkOx31BC4TI4Bix/+ay2XrpurP15rLZWregWDmMmI8Jji/uPGHUPgAAAACEHiO2EfVC1TIkklsR+DrmHVVHdc3ME3VVSb62/PlzXVWS75zu4Aiex2SmDHlUqqd2HdZ0/21gHCPOd31+TGsXFKvXbnd76OOScwuVa0lxuw6e6vN1vWYWZOuEbHNAx+Ovpc1w3BeR/tcCsaT/iH3EDkbtAwAAAEB4EWwj6oUqBIzkUMPfMZuTE2VNN+n+7xaptbNbd188WT29drXZemRJdQ2eBxtM9zXQ8K//iPMbtlRq8cx8Lf46hP9GVqpSkxKUZU6SxWwKqD5v12tWoVWrLjtV3xhh9ltXIC1thuO+iOS/FgBiSTB+PwIAAAAABodgG1EvlCFgpIYa/o45O82kE0ele5znGJH89/pWlxHJw3lM/Uect9l69NhbVc73by6brROsac73gdY3lOs1kL7Wob4vIvmvBYBYw6h9AAAAAAgPgm1EvVCHgEMNNfy1thiM9JREPfejM9XQ3qWUpAR9WHNMG9+pVputx+cxexuR/EBZkcymhKDX6U0oW230v16NbTYdqGvxe1wDbWkTyrArkv9aAAAAAAAAYDgQbCPqRXIIGEhri2Bss6QgW2sXFOu3f6nRvZdM8XjM3kYk7/z8mD7/qk2Pv1Wl7VXBq9MTR8jf3WvXxkVnuATyfQWr1cZAzn+k9bWO1L8WAADEnm3btukXv/iFdu3apdraWr344ou69NJLfa5TUVGhZcuW6eOPP1Zubq5uvvlmXXvttcNTMAAAAKICwTZiQiSGgANpbTHUbe6oOqr4uDg9dPlUjclM8biutxHJi2fma91b+10e3BiMOvuP/m619XgN5G/YUukMt4PVamOg5z8S+1rHcguEUPylAwBgcFpbWzV16lRdddVVKisr87t8dXW15s+fr2uuuUbPPvusduzYoeuuu06jRo0KaH0AAABAIthGDIm0EHCgrS368hbq+drm9v31auno1phMz/V4G5FcnJfl0t96IHV60neUtNmUoMUz83XeKWN0tKVTV5Xka2pelnOUtiNMXzwzX4+9VRXUUfYDPf/0tY4cofhLBwDA4M2bN0/z5s0LePknn3xS48eP15o1ayRJp5xyinbu3KmHHnqIYBsAAAABI9gGwmSwrS18hXpDaZfhbURyZ3fvoLfZX99R0mZTgtYuKNamHdUuwXn/Udo7qo7qtvmn6LLTvhHUUfYDPVeR3NJGip0RzKH4SwcAwPB67733dMEFF7hM+/a3v60NGzaoq6tLSUnun0k6OzvV2dnpfN/U1BTyOgEAABDZCLaBMBlMawt/od4dF00a8DYdvI1ITk6MH/Q2++s7SnrxzHxt2lHt1uKk/yhtSbJ192pSriXg/QRiMOc/ElvaSF9/2fH/9oS8B3okCMVfOgAAhtfhw4c1ZswYl2ljxoxRd3e36uvrlZOT47bOqlWrdM899wxXiQAAADAA34kVgJBxBMmeeGtt4S/UMyXED3ibDo4RyaWFVplNCVpyboE2LJyuURnJmjXIbfbXd5R0cV6WW6jtsKPqqIrzspzvQ9G/ejDnXzp+nk4ana7Txo/QSaPTwx6MNrbZ3EJt6fj9cEv5HjW22cJUmavGNpsO1LWosuaYDhxpGXRdQ/lLhyVbKjX3kQpd9sS7mvtwhZZuqdShhvZB1QEAGJq4uDiX93a73eN0h5UrV6qxsdH5OnjwYMhrBAAAQGRjxDYQIv5Ghw6mtYW/UK+x3eZ1m/dfdqqOttr09/pWr6NVHSOSj7V16Y6X9uqxt6qcLUPsdrve6RNED6YFR99R0v5anDjmh6p/daS3FglUXXOnW6jtsH1/veqaO8N+LMHsiR2Kv3SgfQkADK+xY8fq8OHDLtPq6uqUmJio7Oxsj+skJycrOTl5OMoDAACAQRBsAyEQaJA30NYW/kK9tOQkj9tMSYrXXa98rP/ZV+ezHoc7Xv5I278OsdtsPbphS6UWz8zXdXMKlJKUIEvq4Fpw9G134q/FSXJifMhD5khtLTIQDe3+vuwIvAd6KAQ7VB7MQzyH0r4EABB8M2bM0O9//3uXaa+//rqmT5/usb82AAAA4AnBNhBkjiBv1+fHtOTcAhXnZamzu1cpSQmq+OyI5k8Z6zZy26Gls0uJCXGqa+5Um61bWWaTunp61WuXeu12tXR0649LZ8rW06vm9m519fYqIS5ObV09GmFOUnpKonObju02ttm0ZEul84GNi2fmO2v6/GirEuPjlJwY7xxdnmpK0NS8LO36/JjabD2Sjofbj71VpcfeqtJrP5mlhnabOrt71NDepazU4/8B6mt0umP0emO7TbfOP0XLe47XPasg2xmgO5hNCbrjokn6xohU/eS8QrV19aix7Xjw2Hc75uRExcfFKTE+TtlD6JXcd72mji4pzn16JEszJficb/Yz3yHQ/tMD7VMd7FA5FH/pMJAHoBqRv2sWqt7j9DQHYkdLS4uqqv71IOjq6mrt3r1bI0eO1Pjx47Vy5Up98cUXeuaZZyRJ1157rR577DEtW7ZM11xzjd577z1t2LBBW7ZsCdchAAAAwIAItoEgq2+xadfnx7R2QbE27ah2PgBRkkoKsjXjxGyXcMcxutuxzoP//akqaxq0dkGxHn1zv35w5gluD1ksKcjWVSX52vLnz7XgzBO0/L/+qjZbj8dR2I5g0dFSpG9NZlOCNi46Q4+/VeXSzqKkIFtrFxTrhi2VznDb4Ytj7bJL+uGWv+isE0fq1vmTdM8rH3t9cKGn0eslBdm6ema+ls4tlOLinPP61rPyhb0u27vv0im69w9/cxl17jgPq17dp3sumTKoByUGs01GOKSZElVSkO2xX3lJQbbSTP5/zQd6DgZzrkIRKgf7Lx1C0cM9Uvi7ZqG6/43+cwVgYHbu3KlzzjnH+X7ZsmWSpIULF2rz5s2qra1VTU2Nc35+fr5effVV3XTTTXr88ceVm5urtWvXqqysbNhrBwAAgHHx8EggyJo6urR4Zr5bGC0dfyjiHS9/5HxwXt82DX3Xcfx7Uq7F63Y27ajWKV/PXzwzX9K/2jv0fTCfI1j0VNPimfla99Z+tx7Nju07ttufY96kXIvueuUjjw8uXFG+R182dXhsQ7Gj6qg2vFOtdw8c1fxTc/TGTaV66bqz9acbZrmF7I7t3friXp2ck+mxzok5mW7HHQh/bTIi5cGLvmSZk7T03EKVFLj2JC0pyNbScwuVZfYd2gZ6DgZ7rkIVKg/kIZ6DfVCo0fm7Zt5+Pod6/0fDzxWAgZkzZ47sdrvba/PmzZKkzZs3a+vWrS7rzJ49Wx9++KE6OztVXV2ta6+9dvgLBwAAgKERbANBlpmSpOK8LI8jaKXjD/Srbzke7PRt09B3Hce/fW2n7/zivCzn9G19tu+op//2HQLZfl8lBdmqPNjgnOdr/W3763Ws1Xsbih1VR3XqNyxa+cJexcfF6bTxI9Tda/f6IMR3PNTTt87+xx2IQNpkBKKxzaYDdS2qrDmmA0dahjW4s5hNOmGkWRcV5WrDwul64orTtWHhdF1UlKsJI81+Wz8Eeg4Ge64iIVR2tC/pX4fRHhQ6UP6uma+fz8H8PAW638FuFwAAAACAvmhFAgSZNd2kfxxt9bmMo/1C3zYNnd29bv/uO80Tb8v1be/gCBY9bSvQ7Uv/avtxw5bKgNaVpKaO7oC27+l8+KvH13YCFYw2GZHQciEnK1Xzp4x1ac0x/YQRAQW2gZ6DwZ6rwfTEDoVoeFDoQPm7Zv5+PgfbezzWe5oDAAAAAIYHwTYQZBazSeNG+A40He0X+rZpSE6Md/t332meeFuub3sHR7D4j3r3sN3f9vNGpuqJK05XcmK8Kg82uPTc9reuJGWm+P4V49iGp/Pha3l/2+nP20Pshtomw1/LhXULioctOO37wNCBCPQcDOVcRUqoPNhzZFT+rpm/n8/BtomJ5Z7mAAAAAIDhQysSIATGZqYE1H6hb5uGyoMNzj7Jjn/3ndZf3/mVBxs8bt8hNytVJ41O16x+NfnafmmhVR990aTr/vNDXf30Tj32VpUz1Hbss/Jgg2b6WH9Emvc2FI5teDsf/c3sd5y+ttPXoYZ2LdlSqbmPVOiyJ97V3IcrtHRLpQ41tA+5TUY0tFwI9BwM9VwNpCc2gsPfNfP18zmUNjGR0H4GAAAAABD9CLaBEAi0p2/f5Ta+U62rSvJVUpDt/PffDjU6p/XlaAuy7+v5G9+p9rj9vsZkpuiBfjVtfKdaS88tdAu8HduZ881Rbsfg2PfGd6r1t0ONuvs7U7yuPyYzxeN5cGzj09omt3rvvcTz9u6/7FR9WtsU8HYk/yOqJQ2p93I0tFwYzL3qazlEDn/XzNvP51CvKfcKAAAAAGA4xNntdnu4iwilpqYmWSwWNTY2KjMzM9zlIMY4WmD4a7/gWK61s0uWVJNsPb1qt3XLkmpSV2+v7Hapx25Xa2e30kyJSoiPU0J8nNKSE9Xa2a2m9sDbO3iqSZLXOvsun5acqKSEOH3ValNKUoLSTInKMif5XL/vNhrbu2Q2JTjrz07713KOXtW7Pj+mxTPznQ+KHDciVWMzU2QxmwLaTl8H6lo095EKr+fizWWzddLo9ICv02C3bwQDvVdjpU91NPB3zUJ1TblXMBz4nBe7gnHtp/30mSBXBaPY9Ysrw7bvmntPDdu+EV7j79wb1v2XrCsJ6/4RPjuW7gjbvitKZ4dt3wiv2du8ZyX+DORzHj22gRAKtKfvcPb+9bYvb/v3tPwED10GfNXv7/j6j6x+7K0q57zSQqvWLSgOaDv9BTqierDn39FyYZuHdiRGa7kQifcqgsPfNQvVNeVeAQAAAACEEq1IgEFobLPpQF2LKmuO6cCRFjW2RX4v5f4i6RhC1as61A+xo+UCAAAAAABAeDBiGxigQw3tuvPlj3RyTqaK87JU29ihOnOSxo806xsjzOEuLyCOth99w+TSQqtWlxUpNyt12OsJVa/q4RhRnZuVqnULimm5AAAAAAAAMIwItoEBaGyz6c6XP9L3vzVem3ZUu7TMmFmQrdXfLdK4kZEdbvt7oOK6BcXDHsqmJ/v+VZTmZ743jhHVK8r3uITbwR5RTcsFAAAAAACA4UWwDQxAfYtNJ+dkatOOau2oOuoy752qo1r54l49FoZgeCD8tf043NQx7PWbEuJVUpDtdk4lqaQgW6aEwXdNYkQ1AAAAAABA9CHYBgagqaNLxXlZLiO1+9r+dT/oSA5N/bX9+OexdqUkJSgrNWnYjqOh3aarSvIlySXcLinI1lUl+Wpst0lKG/T2GVENAAAAAAAQXXh4JDAAmSlJ6uzu9bnMYPtBDxd/D1SUpKq6Fi3dUqlDDe3DUJGUnpykG7ZUqnj8CG1YOF1PXHG6NiycruLxI3TDlkqlJQ/tIY8AAAAAAACILozYhmE0ttlU32JTU0eXMlOTZE0b/lG41nSTvmzyHbKmmhKGqZrBsaabNKvQ6rEdSUlBtioPNmhSTuaw9ty2pps0/YQRHkfCB+shjwAAAAAAAIgejNiGIRxqaNeSLZWa+0iFLnviXc19uGJYRxQ7WMwmnZBt1qyCbI/zSwqy9WFNgxrbbMNa10BYzCb97JIpKul3DI62HxvfqVZy4vFfDdu+bq0yHDWtLitSaaHVZXqwH/KIwDS22XSgrkWVNcd04EhLRN/PAAAAAAAgNjFiGxGvsc2mW8r3uI0wHs4RxX19Y4RZ9146Rbe/9JHHftA3bKnUtyaMjOgwdoQ5SRcV5WpxSb46u3uVnBivyoMNX7cDyVLlwQbnssPVWsWID3mMhL8iCLZDDe1uP2+lhVatLitSblZqGCsDAAAAAAD4F4JtRLz6FpvHthnSv0YUBzNMDCSsbGrvUvH4ER6D4TZbT8T32baYTZr9zVFaUb5H2/qc277hvENGAD25g1mXUYLhaAyAI+1LJAAAAAAAAG8IthHxmvyExL5C5IGOqO0bVppNCVo8M19nn5gtU2K8RqSZnOv3D3vj4uJc3ved76ihsd0mc3Ki4uPilBgfp+wgj+4d6H5ys1L1i8unqraxQ0dbOiXJJZyX3PtbR+MI5cGI1gB4uL9EAiIRv+cAAAAAwBgIthHxMv2MGPY2onigI2r7hpVmU4LWLijWph3VLg80dPR8NiXEq7LmmMu8koJsrV1QrN/+pcYZBnuqwTEqetWr+3TPJVOCMrp3sPtp6ejWD379vvNY+7dWufeSKc5AJxpHKA9WtAbAQ/kSCYgG/J4DAAAAAOPg4ZGIeNZ0k9tDBR36jyh28Dei1tPD8PqGlYtn5rsFvY71t352RCtf2Os2b0fVUW3eUa27vzNZFrPJaw07qo5q045qTczJ9FrLQASyn1u87Kepo0tttp6ve2uP0IaF0/XEFadrw8LpKh4/Qk3tNp/78HU+gyUSH2QYrQHwYL9EAqJBOH/PAQAAAAAGjhHbiHgWs0mry4rc+kE7Rk97Ghk7mBG1fcPK4rwsl9HYfY3OSNb2Ks/bfqfqqDq6ev3WsKPqqBaX5Ouxt6qGPLo30P3UNXe67ccRZLbZejwe72WnfcPvPkI5QjlSR09GawDs+BJpm4dr7e1LJCBaROtfYgAAAABAtCLYhiHkZqVq3YJi1bfY1NzRpYyUJFnTvfc9HcyI2r5hZWd3r9d1fc3ru21/NTi2M9TRvYHup7HdfblAg8xwjFCO5D7W0RoAD+ZLJCBaROtfYgAAAABAtCLYhmFYzIE/wGswI2qt6SbNKrRq+/56JSd679Lja17fbfurwbGdoY7uDXQ/ZlOC27xAg8xwjFCO5NGT0RwAD/RLJCBaROtfYgAAAABAtCLYRlQazIhai9mkVZedqhUv7FHlwQaVFGS79dGWpLrmzoC27auGkoJsVR5sCMro3kD2U1KQrTST5x93T0FmekqiWju7VVlzTJmpx98P9wjlSB89Gc0B8EC+RAKiRbT+JQYAAAAARCseHomo5BhR2/ehk2ZTglZ991TdduEp+nt9q8cHEY4badYDZUWaeVK27rxokmYVuD60srTQqnO+Ocpt2455fUfreqpBOh42X1WSr09rm4Iyutfffv52qFFLzy1Ultn7aEOL2aSTRqfrtPEjlGpK0PL/+qvOfbhClz3xruY+XKHbX9yr+y6dMuDzORRGGD3Z97ydNDqdMBgwMG+/S6PhLzEAAAAAIBoxYhtRq++I2tbOLmWmmnTHSx9p5Qt7nct4ehDhN0aYlZ6cqKOtNt158ST19NrVZuuRJdV1RG4go3X71tDY3iWzKUEJ8XFKiI/TQ5dPDVpQ4tjP4aYONbR1KSM1SXF2qVd2/XvpScofaQ5oX976Wr+xr06S9IvLp6qlo3tA53OwGD0JYLhF819iAAAAAEC0IdhGVHO0VGhss2nJlkptrwrsQYSBtGIItF3DcLV1sJhNarX16L4/7HM5TkfYHAhffa3f2FenFfO6ddLo9AGfz8GI5j7WACIXrXgAAAAAwBgIthEThvIgwsY2m+pbbGrq6FJmapKsaeENPRz1tHR2Kctskq27Vy2d3RqZZtLtL340pLA50L7Ww/Vgx9ysVP3i8qk61mpTU0e3MlMTNcJs0pjMlCFvGwAAAAAAAMZFsI2Y4CuwNZsS1Gu360Bdi1t4faih3a01RzDbbUgDC84d9ez6/JjWLijWg//9qfMBlxsWTncLtR0CDZsD7Ws9XA92HI7zDwAAAAAAAOMh2EZM8BbYmk0JWrugWPf+/mNt/zoglo6Hp/dfdqru/v3HbiOTg9luYyDBbd/+10vOLdCmHdXOUFuSOrt7fe4rkLA50L7Ww/FgR2/9voN5/vvuK5JG5QMAAAAAAMC3+HAXAAwHR2Db3+KZ+dq0o9ol1JaOh6crX9yrk3MyPW7PMQJ6KPwFt41trtvv2/6jOC/LJdSWpORE3z/OgYTNjr7W/c9V/77W3s6nY9lgPNgxkHYnwXCooV1LtlRq7iMVuuyJdzX34Qot3VKpQw3tQdk+AAAAAAAAgo9gGzHBW2B79onZbgGxw/b99SrOy/K6zaG22xhocNu3/Yen0dmVBxtUUpDtcXsDCZtzs1K1bkGx3lw2Wy9dd7beXDZb6xYUK6fPCPJAA/ChGI52JwP9cgEAAAAAAACRgVYkiBmOwLa+xabmji5lpCSpsd13cOmrvcdQ220MNLjt2/7D0+jsje9Ua+2CYklyCesHEzZbzP5bcXg6n9b04LXwGI52J8P1EEwAAAAAAAAEF8E2Ykr/wPZAXYvP5bNSPYenwWi34S+4TTElqLHN5tb+Y9v+eufo7L4BdputRzdsqdQdF03S3RdPVmtnd9DD5v4CCcAHK9B+30MxXA/BBAAAAAAAQHDRigQxzV+v6BOyzSFrt+Fr3yUF2frDnlqXXs99239sfKdaV5Xku7UemX7CCM355igVjsnQaeNH6KTR6YYdcTwc7U6GY1S4kTW22XSgrkWVNcd04EgLrVkAAAAAAEDEYMQ2YpojPF1RvsdlZLAjPM0JYbsNb/suKcjWVSX5umFLpdpsPbrr5Y9032WnqqWjW00dXbrjokkyJcSrtdOm1ZedqlZbj5o6upWZmqgRZpPGZKYMubZIEep2J8EeFd7YZlN9i01NHV3KTE2SNS10I9pD7VBDu1v/8dJCq1aXFSm3T791AAAAAACAcIjoYHvVqlV64YUX9Mknnyg1NVVnn322HnjgAU2cODHcpcWUoYZ1wVw/LTlRSfFxOtpqU0ZKopIT49XY3qX0FM/bDWTfjvC0rrlTje1dMpsSlJacKPPXrUAa2rrU2d2jXrtd8XFSbVOHPv2yWRkpSUozJSheUnt3r3rsdrV1dstiNik1KUHNHV1qbO+WJTVRGSlJ6ujqUWN7lyypSUpJSlBTR5ea2rt164Wn6L6kBH1W16I4HX8IpCPUNpsS9L1vjdfy3+3W9n59s++7dIpabN3q6rFLsitOcTrc2KGDX7UpPSVRyQnxamy3KSPVNKiANVQhrbftepseynYnFrNJq757qj4/2qaG9i6lJCXow5pj+rS2SfdeMiWg/TrqPtZmU1dPr3YcOKqN71SrzdajWYVW3f2dyYqTlD3MIfdQrp+/h2quW1A85N8BkqLmSwAAAAAAADD8IjrYrqio0PXXX68zzjhD3d3duu2223TBBRfob3/7m9LS0sJdXkwY6qjNUKzvGNF85ca/qHh8lq4qydeCX/9Z008YofsvO1W2nl41d3TJkmrSHS99pO1V3vfd2GbT0Vab7JLu/f3HLuHxeaeM1op5p+iuVz5SZU2D1i4o1sNvfObS13pmQbbuu/RUPfCnffqfT464TF/UZ9S14/2K8j1aXVakTTuq3bZzx0WTdcVv3ld9y7/aPSyeme+2rHQ8YLztxY8079Sxuu+P+7R2QbEefXO/y3KO8/SD3/xF008YMaCRtqEarettu/ddOkX3/uFv+p99dUHdXyD1rHhhr0s9swqtWnXZqcoZwv25dkGxbthSqe3763Xnyx+pePwI7TnYMGyjnYd6/YL5UE1PtcwqtOr6cwq0ePMHarP1DLg+AAAAAACAiO6x/dprr2nRokWaPHmypk6dqk2bNqmmpka7du0Kd2kxwd+oTX/9dkO1/o6qo9q0o1qLZ+a7/Hvb/nqteGGPXqj8Qm/sq9NtL+11CbX77/tQQ7uWbKnUC5Vf6M6XP3IJtSXp5JxM3fXKR9pRddRrwPxO1VHd/tJenZxrcZvuqKvv+wc8hNqO+T/7w8d6oKzIZXpxXpbbsg7bq+o1JjPFa21u5yaAcy4N/boNZru3vrhXJ+dkBnV/g61n+9f1BOP+dLwvzssK+fH4q2sg+w/WQzV9neN1b+13nqOB1gcAAAAAABDRwXZ/jY2NkqSRI0d6Xaazs1NNTU0uLwxOIKM2vWlss6m2sUMLvjVeGxedoSXnFshsSgh4fX/7d4SF/f/9ztf/9hUIb9tfr7rmTmfg5m3ZvtN9be+dPvv3VqPj/ejMZJ/bGZ2Z7DKts7vX47J95/uqrW8NgZxzaWjXfbDb9XYOh7K/odQTzPtT+td1DOXxBFJXoPsP1kM1B3KOBlIfAAAAAABARLci6ctut2vZsmWaOXOmpkyZ4nW5VatW6Z577hnGyqLXYEdt+mvP4Gg94G/Up7/99w19vf3bm8b2Lmd93pYfyDYD2YYktXT0+NxOa6frfEuq7wAxOTF+QLUFMtI2WKN1B7pdb8cx2P35M9TjHMjxJCf+6zvEUB2PQzCuX7AeqjmYax7q8wMAAAAAAKKDYUZsL1myRHv27NGWLVt8Lrdy5Uo1NjY6XwcPHhymCqPPYEZtBtqewdv6A9l/37Cw/7/7vvek7+hxb8t6276/ZX1NT09J8LicQ0ZKojYsnK4nrjhdGxZOV0dXj0oKsj0uW1KQrcqDDQOqLZCRtsEarTvQ7Xo7jsHuz5+hHmegx+O4ToFud6iCcf0sZpNWlxWptNDqMr200KoHyooC7q89mGse6vMDAAiNJ554Qvn5+UpJSdG0adO0fft2r8tu3bpVcXFxbq9PPvlkGCsGAACA0Rki2F66dKleeeUVvf322xo3bpzPZZOTk5WZmenywuA4Rm164m3UZqCtBwIZ9elr/33DQk//rjzY4DUQLi20Ks30rz9W8LZs5cEGzfx6uq/tzewXXHqq0fG+rqnT53YON3bo6qd36rr//FBXP71TS7dU6qqSfM3qdx5mFWRryTmF2vhOtc/a+tYQ6EjbwVz3QPjarrdzOJT9DaWeYN2fjgd4bnynOuDtDlWwrl9uVqrWLSjWm8tm66Xrztaby2Zr3YLigB6qGUgt/X8+BlofACBy/Pa3v9VPfvIT3XbbbaqsrNSsWbM0b9481dTU+Fzv008/VW1trfNVWFg4TBUDAAAgGkR0sG2327VkyRK98MILeuutt5Sfn+9/JQTNYEZtBtJ6INBRnxazSfdfdqpbqNs3LOz775l9/r3xnWpdVZLvFvg69p1lTnIel7dlP6lt0t3fmaKSgmyvy8wsyNZ9l56qTw41uU3vG2g63t9SvkdXleQ7A/O+y9958WTdUr7HZXqbrUc3bKnUfZdMcQkYV5cVKSFeKh6f5bW2vudmICNtgzVadyDbvf+yU/VpbZPb9KHsbyj1BHp/elp/VqFV914yRTNPylbx+BHO9juhPh5/dQ1m/xazSSeNTtdp40fopNHpA67d1zlaem6h8+djsPUBACLDI488oquvvlo/+tGPdMopp2jNmjXKy8vT+vXrfa43evRojR071vlKSPD9l20AAABAX3F2u90e7iK8ue666/Tcc8/p5Zdf1sSJE53TLRaLUlMDGzXY1NQki8WixsZGRm8PUmObTfUtNjV3dCkjJUnWdJPX8OlAXYvmPlLhdVuv3ThLOZaUgMKrQw3tuvPlj3RyTqaK87LU1WNX3ohUpZoS9FWrTekpiUpJjFd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      "text/plain": [
       "<Figure size 1800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用Axes绘图可以直接跟matplotlib结合使用\n",
    "    # 例如，用matplotlib画框架，用seaborn画子图\n",
    "fig, [ax1, ax2] = plt.subplots(1, 2, figsize=(18,5))\n",
    "sns.scatterplot(data=tips, x=\"total_bill\", y=\"tip\", ax=ax1)\n",
    "sns.barplot(data=tips, x=\"day\", y=\"tip\", ax=ax2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
